Physical modeling method for verifying a steel-concrete separation detection mapping model

Abstract

The present application relates to a kind of for verifying steel shell concrete void detection mapping model Physical modeling method, including determining the model style of steel shell concrete void test piece, using steel plate as the lining of the remaining side and bottom surface except top surface for concrete pouring;Void is arranged in the inside of side steel shell, and the cavity of void is formed by welding using metal plate in the part where void is arranged;Concrete pouring is carried out on the top surface of steel shell;Detection data are collected using detection equipment;According to the mapping model established in advance, the detection data are calculated;The void detection result is analyzed with the void parameter of steel shell concrete void test piece, and the analysis index of each parameter is counted;Based on analysis index, the comprehensive evaluation value is obtained using comprehensive evaluation model.The present application eliminates the time-consuming and laborious links such as uncovering steel plate, accurately measuring void volume, makes the whole verification process more efficient, greatly shortens the time required for verification, and the model can be used repeatedly for verification test, improves the utilization rate of model.

Description

Technical Field

[0001] The present invention relates to the technical field of steel shell concrete void detection, and in particular to a physical modeling method for verifying a steel shell concrete void detection mapping model. Background Art

[0002] Because steel-shell concrete structures are encased in a steel plate several millimeters to several centimeters thick, direct measurement of voids is impossible. Therefore, a measurement medium is required that can penetrate the steel plate and interact with different media, such as air, water, and concrete, to produce different, observable response indicators. Currently, nondestructive testing methods for voids in steel-shell concrete utilize media such as elastic waves, electromagnetic waves (gamma rays, X-rays, infrared), and neutrons. For example, fast neutrons can penetrate the steel plate and interact with different media, such as air, water, and concrete, to produce varying numbers of thermal neutrons, which can be measured using thermal neutron detectors. In short, these methods are all indirect measurements and require a one-to-one mapping between voids and response indicators. That is, for each degree of void, there is a unique value in the response domain. In practice, this mapping model is typically constructed through calibration experiments.

[0003] Constructing a mapping model is only the first step in applying detection technology and equipment to practice. Successful application practice also requires verification of the reliability and accuracy of the mapping model. The more conventional method in the existing technology is to use a 1:1 physical model for verification. This verification method is relatively objective and realistic, and has a high success rate. However, the verification process is relatively complicated. The steel plate needs to be uncovered after the test, and the amount of air voids in the physical model needs to be accurately measured before comparison. This verification method not only has great measurement challenges, is time-consuming and labor-intensive, and has low accuracy, but large-scale projects also require a large amount of raw materials such as steel and concrete, but can only be verified once, generating a large amount of waste after verification, which is not economical or environmentally friendly.

[0004] Therefore, there is an urgent need to provide a verification method for a steel shell concrete void detection mapping model to overcome the above-mentioned defects in the prior art. Summary of the Invention

[0005] To this end, the technical problem to be solved by the present invention is to overcome the technical defects existing in the prior art, and propose a physical modeling method for verifying the steel shell concrete void detection mapping model, which eliminates the time-consuming and labor-intensive steps such as uncovering the steel plate and accurately measuring the void amount, making the entire verification process more efficient. Not only can the model be used for repeated and multiple verification tests, but it also greatly shortens the time required for verification and improves verification efficiency. It can effectively ensure the effective verification of the steel shell concrete void detection mapping model, and effectively guarantee the reliability and accuracy of the model.

[0006] To solve the above technical problems, the present invention creatively provides a physical modeling method for verifying a steel shell concrete void detection mapping model, comprising the following steps:

[0007] S1: Determine the model style of the steel shell concrete void test specimen and use steel plates of equal thickness as linings on the sides and bottom except for the top surface for concrete pouring;

[0008] S2: A hollow space is provided in the middle of the side steel shell, and a metal plate is welded at the hollow space to form a hollow cavity, and steel bars are welded in the hollow cavity with a larger area as support;

[0009] S3: pouring concrete on the top surface of the steel shell according to the selected concrete material and pouring process;

[0010] S4: Place the testing equipment close to the center of the outer side of the steel shell so that the testing center point coincides with the void center point, collect the testing data, and record the collected testing data and the void situation one by one to form a record table;

[0011] S5: Analyze and calculate the collected detection data based on the mapping model established in advance through the calibration experiment to obtain the air gap detection result;

[0012] S6: According to the corresponding principle, the void detection results are compared and analyzed with the void parameters of the steel shell concrete void test piece, and the analysis indicators of various parameters are statistically calculated;

[0013] S7: Based on the analysis indicators of various parameters, a comprehensive evaluation value is obtained using a comprehensive evaluation model, and the accuracy of the mapping model is reflected by the comprehensive evaluation value.

[0014] In one embodiment, in S1, the model style is a cube, a rectangular parallelepiped or a cylinder, and its length, width, height or diameter is not less than 60 cm; the thickness of the steel shell is 4-60 mm.

[0015] In one embodiment, in S2, a hollow space is provided in the middle of the inner portion of the side steel shell. If it is a cylindrical model, it is provided in the middle of the 1 / 4 sector of the side.

[0016] In one embodiment, in S2, the hollow cavity appears as a columnar body perpendicular to the plane of the steel shell, and the shape of the columnar body projected onto the plane of the steel shell has various shapes, including regular shapes and irregular polygons; while on the concrete surface, the hollow cavity appears as a plane or a serrated surface parallel to the steel shell surface.

[0017] In one embodiment, in S4, the detection equipment is placed close to the center of the outer side of the steel shell to collect detection data, and at least two tests are required for a single void.

[0018] In one embodiment, in S5, the method for obtaining the air gap detection result includes:

[0019] The collected detection data is analyzed and calculated according to the mapping model to obtain the air gap detection result R(h, S, V), where the expression of the mapping model is:

[0020] R(h,S,V)=f(D,N);

[0021] Where h represents the void depth, S represents the void area, V represents the void volume, D represents the steel shell thickness, and N represents the parameters related to the detection data.

[0022] In one embodiment, in S6, the analysis indicators include absolute error, relative error, standard deviation and confidence interval.

[0023] In one embodiment, in S7, the method for obtaining a comprehensive evaluation value using a comprehensive evaluation model includes:

[0024] Obtain comprehensive evaluation value using comprehensive evaluation model Among them, the expression of the comprehensive evaluation model is:

[0025]

[0026] Where Δ(h) represents the absolute error of the void depth, E represents the relative error, S(h) represents the standard deviation of the void depth, and P represents the confidence interval.

[0027] Furthermore, the present invention also provides a computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above-described method when executing the program.

[0028] Furthermore, the present invention further provides a computer-readable storage medium having a computer program stored thereon, which implements the steps of the above-mentioned method when executed by a processor.

[0029] The above technical solution of the present invention has the following advantages over the prior art:

[0030] The method of the present invention carefully plans the void setting in the prefabricated steel shell concrete void test specimen, fully considering various situations such as combinations of various shapes, areas, and depths, so as to comprehensively simulate possible void situations. At the same time, when performing void detection, the detection equipment is placed close to the center of the outer side of the steel shell, so that the detection center point coincides with the void center point to collect detection data. Through precise setting, the detection data corresponding to the void situation can be accurately obtained from the outer side of the steel shell while the steel plate remains intact, without having to remove the steel plate to access the inner area of ​​the void for detection. Compared with the existing complex verification process, the method of the present invention eliminates the time-consuming and labor-intensive steps of removing the steel plate and accurately measuring the void amount, making the entire verification process more efficient. Not only can the model be used for repeated and multiple verification tests, but it also greatly shortens the verification time and improves verification efficiency. It can effectively ensure the effective verification of the steel shell concrete void detection mapping model, and effectively guarantee the reliability and accuracy of the model. This provides solid and powerful support for the subsequent development and practical application of steel shell concrete void detection technology, making it have important practical value and good application prospects. The method of the present invention does not require the construction of a large-scale 1:1 physical model, thus saving a large amount of raw materials, reducing resource waste and avoiding waste generation. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 The present invention is a flow chart of a physical modeling method for verifying a steel shell concrete void detection mapping model.

[0032] Figure 2 It is a model diagram of the prefabricated steel shell concrete hollow test piece of the present invention.

[0033] The accompanying drawings are described as follows: 1. Steel shell; 2. Hollow cavity. DETAILED DESCRIPTION

[0034] The present invention will be further described below with reference to the accompanying drawings and specific embodiments so that those skilled in the art can better understand the present invention and implement it. However, the embodiments are not intended to limit the present invention.

[0035] Reference Figure 1 and Figure 2 As shown, an embodiment of the present invention provides a physical modeling method for verifying a steel shell concrete void detection mapping model, comprising the following steps:

[0036] S1: Determine the model style of the steel shell concrete void test specimen and use steel plates of equal thickness as linings on the sides and bottom except for the top surface for concrete pouring;

[0037] S2: A hollow space is set in the middle of the side steel shell 1, and a metal plate is welded at the hollow space to form a hollow cavity 2. Steel bars are welded in the hollow cavity with a larger area as support;

[0038] S3: pouring concrete on the top surface of the steel shell according to the selected concrete material and pouring process;

[0039] S4: Place the detection device close to the center of the outer side of the steel shell 1 so that the detection center coincides with the center of the hollow cavity 2, collect detection data, and record the collected detection data and the hollow situation one by one to form a record table;

[0040] S5: Analyze and calculate the collected detection data based on the mapping model established in advance through the calibration experiment to obtain the air gap detection result;

[0041] S6: According to the corresponding principle, the void detection results are compared and analyzed with the void parameters of the steel shell concrete void specimen, and the analysis indicators of various parameters are statistically analyzed;

[0042] S7: Based on the analysis indicators of various parameters, a comprehensive evaluation value is obtained using a comprehensive evaluation model, and the accuracy of the mapping model is reflected through the comprehensive evaluation value.

[0043] The method of the present invention carefully plans the void setting in the prefabricated steel shell concrete void test specimen, fully considering various situations such as combinations of various shapes, areas, and depths, thereby comprehensively simulating possible void situations. At the same time, when performing void detection, the detection equipment is placed in close proximity to the center of the outer side of the steel shell 1, so that the detection center point coincides with the center point of the void cavity 2 to collect detection data. Through precise setting, detection data corresponding to the void situation can be accurately obtained from the outer side of the steel shell 1 while the steel plate remains intact, without having to remove the steel plate to access the inner area of ​​the void for detection. Compared with the existing complex verification process, the method of the present invention eliminates the time-consuming and labor-intensive steps of removing the steel plate and accurately measuring the void amount, making the entire verification process more efficient. Not only can the model be used for repeated and multiple verification tests, but it also significantly shortens the verification time and improves verification efficiency. It can effectively ensure the effective verification of the steel shell concrete void detection mapping model, and effectively guarantees the reliability and accuracy of the model. This provides solid and powerful support for the subsequent development and practical application of steel shell concrete void detection technology, making it have important practical value and good application prospects. The method of the present invention does not require the construction of a large-scale 1:1 physical model, thus saving a large amount of raw materials, reducing resource waste and avoiding waste generation.

[0044] In step S1, the model is a cube, cuboid, or cylinder, with a length, width, height, or diameter of no less than 60 cm. Except for the top surface used for concrete pouring, the remaining sides and bottom surfaces are lined with smooth steel plates of equal thickness, referred to as steel shell 1. The thickness of steel shell 1 is determined by the actual steel plate type and is generally 4 to 60 mm. In this step, by selecting a variety of model styles and setting a size specification of no less than 60 cm, the prefabricated steel shell concrete voiding specimen can effectively simulate the shape and size of steel shell concrete structures in actual projects. Whether it is immersed tube tunnels, high-head differential water pipelines, turbine housings, volutes, and draft tubes of hydropower station generators, nuclear power plant containment vessels, columns and foundation caps in buildings, or pile foundations, arch ribs, and cable towers in bridges, corresponding simulation models can be found. This provides a more realistic simulation environment for studying voiding issues in these actual structures, making the research results based on the specimen more practical and applicable. Furthermore, a smooth steel plate of equal thickness is used as a lining to form the steel shell 1, and the appropriate thickness of the steel shell 1 can be selected according to the actual steel plate model, further enhancing the equivalence between the specimen and the actual engineering structure. The lining characteristics of the smooth steel plate and the flexibly selectable thickness of the steel shell 1 make the specimen similar to the steel shell concrete structure in the actual engineering in terms of the physical properties of the steel shell 1, the restraining effect on the concrete, and the characteristics related to void detection, thereby improving the accuracy and reliability of the simulation and facilitating a more accurate study and analysis of void conditions in the actual engineering. In summary, step S1 achieves an effective simulation of the actual steel shell concrete structure through the careful design of the model style, size specifications, and steel shell structure in the method design. In terms of effect, it achieves the purpose of truly simulating the actual engineering structure and improving the accuracy of detection and analysis, laying a solid foundation for the verification process of the entire steel shell concrete void detection mapping model.

[0045] Among them, in step S2, a hollow is set in the middle part of the inner side of the steel shell 1. For the cylindrical model, a hollow is set in the middle part of the 1 / 4 sector of the side. The setting of the hollow should consider a combination of various shapes, areas and depths. The hollow cavity 2 is a columnar body perpendicular to the plane of the steel shell 1. The shape of the hollow cavity 2 projected onto the plane of the steel shell 1 includes regular shapes or irregular polygons such as rectangle, square, circle, trapezoid or rhombus. The shape on the concrete surface is a plane parallel to the steel shell surface or a serrated ("V" type or "W" type) curved surface. The hollow depth ranges from 0 (no hollow) to 0 (no hollow). ) to several millimeters or several centimeters. For irregular polygonal voids, the area parameters during design should be known in order to calculate the void amount. The void amount is calculated by the void area and depth parameters. A 3mm aluminum plate or steel plate is used to weld the void cavity 2 at the location where the void is set. For void cavities 2 with larger areas, 4mm steel bars can be welded in the void cavity 2 as support. The number of steel bars can be adjusted according to the size of the void area. The production processes such as cutting and welding of prefabricated metal plates need to reach millimeter-level precision to strictly control the errors of parameters such as the depth, area, and void amount of the void. In this step, through the careful design of the void position, shape, area, depth, and cavity geometric characteristics, step S2 can fully simulate various void situations that may occur in actual projects. Whether it is voids of different shapes and positions, or voids ranging from mild to severe, they can all be reflected in the prefabricated specimens. This makes the detection research results based on the specimens more valuable for practical application and can better guide the void detection work of actual steel shell concrete structures. Diversified void settings help improve the versatility of the void detection mapping model. In summary, step S2 achieves the goal of fully simulating actual void conditions and accurately quantifying the degree of voids through the diversification and refinement of void-related parameters in the method design. This provides rich and accurate simulated void conditions for the verification of the steel shell concrete void detection mapping model.

[0046] Among them, in step S3, any concrete material that meets the national standard adopted by a certain project ("Concrete Structure Design Standard" GB / T 50010-2010) is selected as the model prefabrication material; the casting process is determined, and the casting process can be a broad casting method or a specific casting method adopted by a certain project; concrete is cast on the top surface of the steel shell 1 according to the selected concrete material and casting process, and the casting quality is strictly controlled, including the selection of concrete raw materials (cement, coarse and fine aggregates, admixtures, water), the determination of the mix ratio, the mixing operation, and the control of casting and vibration.

[0047] Among them, in step S4, a detection device with a detection device (such as a detector, a thermal neutron detector, etc.) is prepared, and the detection device is placed close to the middle of the outer side of the steel shell 1 so that the detection center point coincides with the center point of the hollow cavity 2, and detection data (such as reflection waveform, thermal neutron count rate, etc.) are collected. The collected detection data and the hollow situation are recorded one by one to form a record table, as shown in Table 1 and Table 2. A single hollow needs to be tested multiple times (twice or more). In this step, the requirement of multiple tests effectively reduces the influence of accidental factors on the detection data and improves the stability and reliability of the data. The average value or statistical result obtained by multiple tests can better represent the actual hollow situation, reduce the risk of misjudgment due to single measurement error, make the detection data more convincing, and help to more accurately analyze the accuracy of the hollow detection mapping model. Through the multiple sets of data obtained by multiple tests and the corresponding records with the hollow situation, the performance of the detection method under different conditions can be comprehensively evaluated. Then, the accuracy and applicability of the hollow detection mapping model in various actual hollow scenarios are comprehensively verified and improved. In summary, step S4 achieves the goal of improving the quality of detection data and facilitating data analysis and model verification through careful selection of detection equipment, accurate positioning, comprehensive data collection and recording, and multiple tests in method design, providing a strong guarantee for the accurate verification of the steel shell concrete void detection mapping model.

[0048] Table 1 Elastic wave method detection data record table

[0049]

[0050]

[0051] Table 2 Neutron method detection data record table

[0052]

[0053] In step S5, the method for obtaining void detection results includes analyzing and calculating the collected test data according to the mapping model to obtain the void detection result R(h, S, V). The mapping model is expressed as R(h, S, V) = f(D, N); where h represents the void depth, S represents the void area, V represents the void volume, D represents the thickness of the steel shell 1, and N represents parameters related to the test data. In this step, the analysis and calculation method based on the mapping model realizes the conversion from test data to void characteristic parameters. The method design clarifies the parameter meaning and calculation process, and accurately obtains the void characteristics in terms of effect. This provides a basis for model verification and is of great significance to the verification and application of the steel shell concrete void detection mapping model.

[0054] In step S6, according to the corresponding principle, the void detection results are compared and analyzed with the void parameters of the actual specimen, and the absolute or relative error, standard deviation, and confidence interval of each parameter (taking void depth as an example) are statistically analyzed, where:

[0055] (1) Absolute error: Δ(h) = R(h) - R t (h), where R(h) represents the void depth detection result calculated by the mapping model, and R t (h) represents the actual void depth parameter of the test piece. The absolute error directly reflects the absolute difference between the test value and the actual value. It can clearly understand the degree to which the test result deviates from the actual value. If the absolute error is small, it means that the test result is close to the actual value; otherwise, it means that the test result has a large deviation.

[0056] (2) Relative error: It is the ratio of the absolute error to the actual value. Relative error better reflects the relative degree of deviation in the test result, especially when the actual value is larger or smaller. Relative error can better measure the accuracy of the test result. For example, when the absolute error is the same, a larger relative error indicates a smaller actual value, indicating that the test result is relatively closer to the actual value.

[0057] (3) Standard deviation: Where h i Indicates the void depth value of the i-th detection, The standard deviation represents the average of the void depths from multiple tests, n represents the number of tests, and the standard deviation reflects the degree of dispersion of a set of test data. A small standard deviation indicates that the test results are relatively stable and the data volatility is small; conversely, it indicates that the test results are highly volatile and may contain significant uncertainty.

[0058] (4) Confidence interval: Where, It represents a statistic determined based on the confidence level and degrees of freedom, μ represents the population mean, and the confidence interval gives the possible range of the true value under a certain confidence level. By calculating the confidence interval, we can understand the reliability and uncertainty range of the test results, which provides an important basis for evaluating the accuracy and reliability of the test method.

[0059] In this step, by calculating analysis indicators such as absolute error, relative error, standard deviation and confidence interval, the accuracy and reliability of the void detection results can be comprehensively evaluated from different angles. Based on these analysis indicators, the accuracy and reliability of the mapping model can be judged. If the error is large or the confidence interval is wide, it means that there may be problems with the mapping model and further adjustment and improvement are needed. In summary, step S6 provides a means for comprehensively evaluating the detection results in terms of method design by following the corresponding principle for comparative analysis and calculating various analysis indicators. In terms of effect, it achieves the goals of multi-angle error analysis, guiding model improvement and enhancing the credibility of detection results, and provides important support for the verification and actual engineering application of the steel shell concrete void detection mapping model.

[0060] Among them, in step S7, the method of using the comprehensive evaluation model to obtain the comprehensive evaluation value includes: using the comprehensive evaluation model to obtain the comprehensive evaluation value Among them, the expression of the comprehensive evaluation model is In the formula, Δ(h) represents the absolute error of the void depth, E represents the relative error, S(h) represents the standard deviation of the void depth, and P represents the confidence interval. In this step, the expression of the comprehensive evaluation model is to comprehensively consider multiple analysis indicators related to the void detection results to obtain a comprehensive evaluation value that can fully reflect the accuracy of the mapping model. By incorporating these different indicators into the same model for comprehensive analysis, the one-sidedness brought about by evaluating the accuracy of the mapping model based on only a single indicator is avoided. j is the weight coefficient, which corresponds to each analysis indicator Different analysis indicators may have different importance in evaluating the accuracy of the mapping model. By setting appropriate weight coefficients for each indicator, the importance of each indicator can be adjusted according to actual conditions. Reasonable setting of weight coefficients can make the comprehensive evaluation model more suitable for specific application scenarios and evaluation needs.

[0061] The detection media used in the method of the present invention, such as elastic waves, electromagnetic waves (gamma rays, X-rays, infrared rays), neutron rays, etc., have the property of being able to penetrate steel plates, and their interaction with different media such as air, water, concrete, etc. will produce different observable response indicators. For example, fast neutrons can penetrate steel plates and interact with different media to produce different numbers of thermal neutrons, which can be measured by thermal neutron detectors. This means that without uncovering the steel plates, these detection media can be used to obtain information related to voids through the steel plates, thereby providing a data basis for subsequent verification work, without having to uncover the steel plates and directly observe the void areas to obtain information.

[0062] When prefabricating steel shell concrete void test pieces, the method of the present invention carefully plans the setting of the void, taking into account a variety of combinations of shapes, areas, and depths. At the same time, when performing void detection, a detection device with a detection device (such as a detector, a thermal neutron detector, etc.) is placed tightly against the center of the outer side of the steel shell, so that the detection center point coincides with the void center point to collect detection data. Through such a precise setting, it is possible to accurately obtain detection data corresponding to the void situation from the outside of the steel shell while the steel plate remains intact, without having to uncover the steel plate to contact the internal area of ​​the void for detection, and then carry out subsequent verification processes based on these externally collected data.

[0063] The method of the present invention establishes a complete process system from detection data collection, result calculation to data analysis and comprehensive evaluation. First, based on the above-mentioned detection data collected without uncovering the steel plate, the result calculation is performed according to the mapping model established in advance through the calibration experiment to obtain the void detection results, including specific parameters such as void depth, area, and void volume. Then, according to the correspondence principle, these test results are compared and analyzed with the void parameters preset in the actual specimen, and the analysis indicators such as the absolute or relative error, standard deviation and confidence interval of each parameter are statistically analyzed. The comprehensive evaluation model is used to obtain a comprehensive evaluation value to reflect the accuracy of the mapping model, and finally the mapping model is verified. The entire process relies entirely on the data collected from the outside of the steel shell and reasonable data analysis and verification logic. There is no need to uncover the steel plate to obtain additional information to complete the verification process.

[0064] The method of the present invention can be demonstrated from multiple aspects such as specimen prefabrication design, void setting and simulation, and detection and verification process that there is no need to construct a large-scale 1:1 physical model. The main reason is that through scientific and reasonable design and methods, the actual void situation can be effectively simulated on a relatively small-sized and non-proportional specimen, and the void detection mapping model can be verified using appropriate detection means and analysis systems.

[0065] Corresponding to the above method embodiment, an embodiment of the present invention further provides a computer device, including:

[0066] a memory for storing computer programs;

[0067] A processor is used to implement the steps of the above-mentioned method for detecting voids in heterogeneous spaces under steel plates based on a joint detection model when executing a computer program.

[0068] In the embodiment of the present invention, the processor may be a central processing unit (CPU), an application specific integrated circuit, a digital signal processor, a field programmable gate array or other programmable logic devices.

[0069] The processor can call the program stored in the memory. Specifically, the processor can execute the operations in the embodiment of the above-mentioned method for detecting voids in heterogeneous space under steel plates based on the joint detection model.

[0070] The memory is used to store one or more programs, which may include program codes, and the program codes include computer operating instructions.

[0071] In addition, the memory may include high-speed random access memory and may also include non-volatile memory, such as at least one disk storage device or other volatile solid-state storage device.

[0072] Corresponding to the above method embodiment, an embodiment of the present invention also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the above-mentioned method for detecting voids in heterogeneous spaces under steel plates based on a joint detection model are implemented.

[0073] Those skilled in the art will appreciate that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0074] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the steps in the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0075] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0076] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0077] Obviously, the above embodiments are merely examples for clarity of explanation and are not intended to limit the implementation methods. Those skilled in the art will appreciate that other variations or modifications can be made based on the above description. It is not necessary and impossible to enumerate all implementation methods here. Obvious variations or modifications arising therefrom remain within the scope of protection of the present invention.

Claims

1. A physical modeling method for verifying a steel shell concrete void detection mapping model, characterized by: The following steps are involved: S1: Determine the model style of the steel shell concrete void test specimen and use steel plates of equal thickness as linings on the sides and bottom except for the top surface for concrete pouring; S2: A cavity is created in the center of the side steel shell, and a metal plate is welded to the cavity to form a cavity. For larger cavities, steel bars are welded into the cavity as support. The cavity is shaped like a column perpendicular to the plane of the steel shell. The projection of the column onto the plane of the steel shell can have various shapes, including regular shapes and irregular polygons. On the concrete surface, the cavity is shaped like a plane parallel to the steel shell surface or a "V"-shaped or "W"-shaped surface. S3: pouring concrete on the top surface of the steel shell according to the selected concrete material and pouring process; S4: Place the testing equipment close to the center of the outer side of the steel shell so that the testing center point coincides with the void center point, collect the testing data, and record the collected testing data and the void situation one by one to form a record table; S5: Analyze and calculate the collected detection data based on the mapping model established in advance through the calibration experiment to obtain the air gap detection result; S6: According to the corresponding principle, the void detection results are compared and analyzed with the void parameters of the steel shell concrete void test piece, and the analysis indicators of various parameters are statistically calculated; S7: Based on the analysis indicators of various parameters, a comprehensive evaluation value is obtained by using a comprehensive evaluation model, and the accuracy of the mapping model is reflected by the comprehensive evaluation value. The method of obtaining the comprehensive evaluation value by using the comprehensive evaluation model includes: Obtain comprehensive evaluation value using comprehensive evaluation model , where the expression of the comprehensive evaluation model is: ； In the formula, ω represents the set of weight coefficients, φ represents the set of analysis indicators, Indicates the absolute error of the void depth, Indicates the relative error of the void depth, represents the standard deviation of the void depth, Represents the confidence interval of the void depth.

2. The physical modeling method for verifying the steel shell concrete void detection mapping model according to claim 1 is characterized by: In S1, the model is in the form of a cube, a cuboid or a cylinder, and its length, width, height or diameter is no less than 60 cm; the thickness of the steel plate is 4-60 mm.

3. The physical modeling method for verifying the steel shell concrete void detection mapping model according to claim 2 is characterized by: In S2, a hollow space is set in the middle of the inner side steel shell. If it is a cylindrical model, it is set in the middle of the 1 / 4 sector of its side.

4. The physical modeling method for verifying the steel shell concrete void detection mapping model according to claim 1 is characterized by: In S4, the detection equipment is placed close to the middle of the outer side of the steel shell to collect detection data. A single void requires at least two tests.

5. The physical modeling method for verifying the steel shell concrete void detection mapping model according to claim 4 is characterized in that: In S5, the method for obtaining the air gap detection result includes: Analyze and calculate the collected test data according to the mapping model to obtain the air gap test results R ( h , S , V ), where the expression of the mapping model is: ； Where, Indicates the depth of the void. Indicates the void area, Indicates the amount of emptying, Indicates the thickness of the steel shell, Indicates parameters related to detection data.

6. The physical modeling method for verifying the steel shell concrete void detection mapping model according to claim 5 is characterized by: In S6, analysis metrics include absolute error, relative error, standard deviation, and confidence interval.

7. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the steps of the method according to any one of claims 1 to 6 are implemented.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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